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Personalize your search results with Amazon Personalize and Amazon OpenSearch Service integration

Favorite Amazon Personalize has launched a new integration with Amazon OpenSearch Service that enables you to personalize search results for each user and assists in predicting their search needs. The Amazon Personalize Search Ranking plugin within OpenSearch Service allows you to improve the end-user engagement and conversion from your website

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Shared by AWS Machine Learning October 17, 2023

Keeping an eye on your cattle using AI technology

Favorite At Amazon Web Services (AWS), not only are we passionate about providing customers with a variety of comprehensive technical solutions, but we’re also keen on deeply understanding our customers’ business processes. We adopt a third-party perspective and objective judgment to help customers sort out their value propositions, collect pain

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Shared by AWS Machine Learning October 17, 2023

Learn how Amazon Pharmacy created their LLM-based chat-bot using Amazon SageMaker

Favorite Amazon Pharmacy is a full-service pharmacy on Amazon.com that offers transparent pricing, clinical and customer support, and free delivery right to your door. Customer care agents play a crucial role in quickly and accurately retrieving information related to pharmacy information, including prescription clarifications and transfer status, order and dispensing

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Shared by AWS Machine Learning October 17, 2023

How Veriff decreased deployment time by 80% using Amazon SageMaker multi-model endpoints

Favorite Veriff is an identity verification platform partner for innovative growth-driven organizations, including pioneers in financial services, FinTech, crypto, gaming, mobility, and online marketplaces. They provide advanced technology that combines AI-powered automation with human feedback, deep insights, and expertise. Veriff delivers a proven infrastructure that enables their customers to have

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Shared by AWS Machine Learning October 16, 2023

Improving traffic evacuations: A case study

Favorite Posted by Damien Pierce, Software Engineer, and John Anderson, Senior Research Director, Google Research Some cities or communities develop an evacuation plan to be used in case of an emergency. There are a number of reasons why city officials might enact their plan, a primary one being a natural

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Shared by Google AI Technology October 16, 2023

Batch calibration: Rethinking calibration for in-context learning and prompt engineering

Favorite Posted by Han Zhou, Student Researcher, and Subhrajit Roy, Senior Research Scientist, Google Research Prompting large language models (LLMs) has become an efficient learning paradigm for adapting LLMs to a new task by conditioning on human-designed instructions. The remarkable in-context learning (ICL) ability of LLMs also leads to efficient

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Shared by Google AI Technology October 13, 2023